Multiple regression: testing and interpreting interactions

Abstract

Introduction Interactions between Continuous Predictors in Multiple Regression The Effects of Predictor Scaling on Coefficients of Regression Equations Testing and Probing Three-Way Interactions Structuring Regression Equations to Reflect Higher Order Relationships Model and Effect Testing with Higher Order Terms Interactions between Categorical and Continuous Variables Reliability and Statistical Power Conclusion Some Contrasts Between ANOVA and MR in Practice

Keywords

Regression testingRegressionRegression analysisRegression diagnosticStatisticsComputer scienceMathematicsPolynomial regressionProgramming language

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Publication Info

Year: 1992
Type: article
Volume: 29
Issue: 06
Pages: 29-3352
Citations: 37138
Access: Closed

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APA Style

                            
                            (1992). 
                            Multiple regression: testing and interpreting interactions. 
                            Choice Reviews Online
                            , 29
                            (06)
                            , 29-3352.
                            https://doi.org/10.5860/choice.29-3352
                        

Identifiers

DOI: 10.5860/choice.29-3352